Response Surface Methodology‐Based Optimization of Coating Material, Coating Thickness, and Diameter of Dental Implant for Enhanced Mechanical Behavior Using Finite Element Method

• Published in: Advanced engineering materials 2024-10, Vol.26 (24), p.n/a
• Main Authors: Bukhari, Syed Masood Arif, Qurashi, Rashida, Husnain, Naveed, Sadiq, Muhammad Aenan, Zafar, Muhammad Qasim, Anwar, Muhammad Tuoqeer, Abbas, Saqlain, Siddiqui, Farrukh Arsalan, Sarfraz, Sana
• Format: Article
• Language: English
• Subjects: biomaterials; dental implants; finite element analysis; mechanical behavior; parametric optimization; response surface methodology; surface coating
• ISSN: 1438-1656; 1527-2648
• DOI: 10.1002/adem.202401729

Surface coatings have been found effective to enhance the osseointegration behavior and eliminate the issues associated with titanium implants. This research aims to optimize coating material, coating thickness, and implant diameter for reduced deformation, stress, and strain (response variables) which would enhance the performance. These input variables are optimized and analyzed using response surface methodology (RSM) and finite element method. Four different coating materials, i.e., hydroxyapatite, TiO2, TiC, and gold, are selected. Coating thickness is varied from 50 to 170 μm whereas implant body diameter from 4.5 to 5 mm based on RSM's design of experiment (DOE). The designing of dental implants is done in SOLIDWORKS 2023 while simulations are done on Ansys Workbench 19.2 based on DOE. RSM indicates that coating thickness is the most significant variable in determining all the three response variables. Optimized variables are coating thickness of 170 μm, coating material of TiC, and implant diameter of 5 mm. The results from prediction model of RSM are in strong agreement with the simulation results, indicating the validity of model. In terms of mechanical behavior and stability, TiC coating shows the highest desirability (0.988). However, von Mises stress values for all coating materials are in allowable limits. This study explores the optimization of coating material, coating thickness, and implant body diameter of dental implant using two combined approaches, i.e., finite element approach and response surface methodology. The designed models of dental implant are analyzed on the basis of three response variables, i.e., deformation, stress, and strain values, to identify an optimized set of input parameters.